Total Generalized Variation Based Denoising Models for Ultrasound Images-Reference-Cited by-同舟云学术

Total Generalized Variation Based Denoising Models for Ultrasound Images

Published:2017-01-20 Issue:1 Volume:72 Page:172-197
ISSN:0885-7474
Container-title:Journal of Scientific Computing
language:en
Short-container-title:J Sci Comput

Author:

Kang Myeongmin,Kang Myungjoo,Jung Miyoun

Funder

Hankuk University of Foreign Studies

National Research Foundation of Korea

Ministry of Trade, Industry and Energy

Ministry of Science, ICT and Future Planning

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,General Engineering,Theoretical Computer Science,Software,Applied Mathematics,Computational Mathematics,Numerical Analysis

Link

http://link.springer.com/article/10.1007/s10915-017-0357-3/fulltext.html

Reference47 articles.

1. Aubert, G., Aujol, J.F.: A variational approach to removing multiplicative noise. SIAM J. Appl. Math. 68(4), 925–946 (2008)

2. Aubert, G., Kornprobst, P.: Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus of Variations, vol. 147. Springer, Berlin (2006)

3. Barcelos, C.A., Vieira, L.E.: Ultrasound speckle noise reduction via an adaptive edge-controlled variational method. In: 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 145–151 (2014)

4. Besag, J.: Digital image processing: towards Bayesian image analysis. J. Appl. Stat. 16(3), 395–407 (1989)

5. Bredies, K., Holler, M.: A TGV regularized wavelet based zooming model. Scale Space Var. Methods Comput. Vis. 7893, 149–160 (2013)

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An adaptive fractional-order regularization primal-dual image denoising algorithm based on non-convex function;Applied Mathematical Modelling;2024-07

2. Enhanced Low-Rank Tensor Recovery Fusing Reweighted Tensor Correlated Total Variation Regularization for Image Denoising;Journal of Scientific Computing;2024-04-25

3. Speckle Noise Removal: A Local Structure Preserving Approach;SN Computer Science;2024-03-29

4. Speckle De-noising with Local Oriented Structure for Edge Preservation in Ultrasound Images;Lecture Notes in Computer Science;2024

5. Total Generalized Variation for Triangulated Surface Data;Journal of Scientific Computing;2022-11-14